{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-title"
    ]
   },
   "source": [
    "# k-Nearest Neighbor (kNN) exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "The kNN classifier consists of two stages:\n",
    "\n",
    "- During training, the classifier takes the training data and simply remembers it\n",
    "- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n",
    "- The value of k is cross-validated\n",
    "\n",
    "In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "\n",
    "# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n",
    "try:\n",
    "   del X_train, y_train\n",
    "   del X_test, y_test\n",
    "   print('Clear previously loaded data.')\n",
    "except:\n",
    "   pass\n",
    "\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x576 with 70 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 3072) (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Subsample the data for more efficient code execution in this exercise\n",
    "num_training = 5000\n",
    "mask = list(range(num_training))\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "num_test = 500\n",
    "mask = list(range(num_test))\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "# Reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "from cs231n.classifiers import KNearestNeighbor\n",
    "\n",
    "# Create a kNN classifier instance. \n",
    "# Remember that training a kNN classifier is a noop: \n",
    "# the Classifier simply remembers the data and does no further processing \n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n",
    "\n",
    "1. First we must compute the distances between all test examples and all train examples. \n",
    "2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n",
    "\n",
    "Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n",
    "\n",
    "**Note: For the three distance computations that we require you to implement in this notebook, you may not use the np.linalg.norm() function that numpy provides.**\n",
    "\n",
    "First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 5000)\n"
     ]
    }
   ],
   "source": [
    "# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n",
    "# compute_distances_two_loops.\n",
    "\n",
    "# Test your implementation:\n",
    "dists = classifier.compute_distances_two_loops(X_test)\n",
    "print(dists.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can visualize the distance matrix: each row is a single test example and\n",
    "# its distances to training examples\n",
    "plt.imshow(dists, interpolation='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 1** \n",
    "\n",
    "Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n",
    "\n",
    "- What in the data is the cause behind the distinctly bright rows?\n",
    "- What causes the columns?\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ *fill this in.*\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Now implement the function predict_labels and run the code below:\n",
    "# We use k = 1 (which is Nearest Neighbor).\n",
    "y_test_pred = classifier.predict_labels(dists, k=1)\n",
    "\n",
    "# Compute and print the fraction of correctly predicted examples\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 139 / 500 correct => accuracy: 0.278000\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = classifier.predict_labels(dists, k=5)\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see a slightly better performance than with `k = 1`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 2**\n",
    "\n",
    "We can also use other distance metrics such as L1 distance.\n",
    "For pixel values $p_{ij}^{(k)}$ at location $(i,j)$ of some image $I_k$, \n",
    "\n",
    "the mean $\\mu$ across all pixels over all images is $$\\mu=\\frac{1}{nhw}\\sum_{k=1}^n\\sum_{i=1}^{h}\\sum_{j=1}^{w}p_{ij}^{(k)}$$\n",
    "And the pixel-wise mean $\\mu_{ij}$ across all images is \n",
    "$$\\mu_{ij}=\\frac{1}{n}\\sum_{k=1}^np_{ij}^{(k)}.$$\n",
    "The general standard deviation $\\sigma$ and pixel-wise standard deviation $\\sigma_{ij}$ is defined similarly.\n",
    "\n",
    "Which of the following preprocessing steps will not change the performance of a Nearest Neighbor classifier that uses L1 distance? Select all that apply.\n",
    "1. Subtracting the mean $\\mu$ ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu$.)\n",
    "2. Subtracting the per pixel mean $\\mu_{ij}$  ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu_{ij}$.)\n",
    "3. Subtracting the mean $\\mu$ and dividing by the standard deviation $\\sigma$.\n",
    "4. Subtracting the pixel-wise mean $\\mu_{ij}$ and dividing by the pixel-wise standard deviation $\\sigma_{ij}$.\n",
    "5. Rotating the coordinate axes of the data.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "One loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now lets speed up distance matrix computation by using partial vectorization\n",
    "# with one loop. Implement the function compute_distances_one_loop and run the\n",
    "# code below:\n",
    "dists_one = classifier.compute_distances_one_loop(X_test)\n",
    "\n",
    "# To ensure that our vectorized implementation is correct, we make sure that it\n",
    "# agrees with the naive implementation. There are many ways to decide whether\n",
    "# two matrices are similar; one of the simplest is the Frobenius norm. In case\n",
    "# you haven't seen it before, the Frobenius norm of two matrices is the square\n",
    "# root of the squared sum of differences of all elements; in other words, reshape\n",
    "# the matrices into vectors and compute the Euclidean distance between them.\n",
    "difference = np.linalg.norm(dists - dists_one, ord='fro')\n",
    "print('One loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true,
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now implement the fully vectorized version inside compute_distances_no_loops\n",
    "# and run the code\n",
    "dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "\n",
    "# check that the distance matrix agrees with the one we computed before:\n",
    "difference = np.linalg.norm(dists - dists_two, ord='fro')\n",
    "print('No loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "id": "no_loop",
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two loop version took 138.211483 seconds\n",
      "One loop version took 69.126128 seconds\n",
      "No loop version took 0.630242 seconds\n"
     ]
    }
   ],
   "source": [
    "# Let's compare how fast the implementations are\n",
    "def time_function(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    tic = time.time()\n",
    "    f(*args)\n",
    "    toc = time.time()\n",
    "    return toc - tic\n",
    "\n",
    "two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n",
    "print('Two loop version took %f seconds' % two_loop_time)\n",
    "\n",
    "one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n",
    "print('One loop version took %f seconds' % one_loop_time)\n",
    "\n",
    "no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n",
    "print('No loop version took %f seconds' % no_loop_time)\n",
    "\n",
    "# You should see significantly faster performance with the fully vectorized implementation!\n",
    "\n",
    "# NOTE: depending on what machine you're using, \n",
    "# you might not see a speedup when you go from two loops to one loop, \n",
    "# and might even see a slow-down."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cross-validation\n",
    "\n",
    "We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "tags": [
     "code"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k = 1, accuracy = 1.328000\n",
      "k = 1, accuracy = 1.328000\n",
      "k = 1, accuracy = 1.328000\n",
      "k = 1, accuracy = 1.328000\n",
      "k = 1, accuracy = 1.328000\n",
      "k = 3, accuracy = 1.248000\n",
      "k = 3, accuracy = 1.248000\n",
      "k = 3, accuracy = 1.248000\n",
      "k = 3, accuracy = 1.248000\n",
      "k = 3, accuracy = 1.248000\n",
      "k = 5, accuracy = 1.366000\n",
      "k = 5, accuracy = 1.366000\n",
      "k = 5, accuracy = 1.366000\n",
      "k = 5, accuracy = 1.366000\n",
      "k = 5, accuracy = 1.366000\n",
      "k = 8, accuracy = 1.380000\n",
      "k = 8, accuracy = 1.380000\n",
      "k = 8, accuracy = 1.380000\n",
      "k = 8, accuracy = 1.380000\n",
      "k = 8, accuracy = 1.380000\n",
      "k = 10, accuracy = 1.401000\n",
      "k = 10, accuracy = 1.401000\n",
      "k = 10, accuracy = 1.401000\n",
      "k = 10, accuracy = 1.401000\n",
      "k = 10, accuracy = 1.401000\n",
      "k = 12, accuracy = 1.397000\n",
      "k = 12, accuracy = 1.397000\n",
      "k = 12, accuracy = 1.397000\n",
      "k = 12, accuracy = 1.397000\n",
      "k = 12, accuracy = 1.397000\n",
      "k = 15, accuracy = 1.375000\n",
      "k = 15, accuracy = 1.375000\n",
      "k = 15, accuracy = 1.375000\n",
      "k = 15, accuracy = 1.375000\n",
      "k = 15, accuracy = 1.375000\n",
      "k = 20, accuracy = 1.395000\n",
      "k = 20, accuracy = 1.395000\n",
      "k = 20, accuracy = 1.395000\n",
      "k = 20, accuracy = 1.395000\n",
      "k = 20, accuracy = 1.395000\n",
      "k = 50, accuracy = 1.372000\n",
      "k = 50, accuracy = 1.372000\n",
      "k = 50, accuracy = 1.372000\n",
      "k = 50, accuracy = 1.372000\n",
      "k = 50, accuracy = 1.372000\n",
      "k = 100, accuracy = 1.308000\n",
      "k = 100, accuracy = 1.308000\n",
      "k = 100, accuracy = 1.308000\n",
      "k = 100, accuracy = 1.308000\n",
      "k = 100, accuracy = 1.308000\n"
     ]
    }
   ],
   "source": [
    "num_folds = 5\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "# 将y_train拉成列向量\n",
    "y_train_ = y_train.reshape(-1, 1)\n",
    "#使用np.array_split将向量分成等长的num_folds份\n",
    "X_train_folds , y_train_folds = np.array_split(X_train, num_folds), np.array_split(y_train_, num_folds)\n",
    "\n",
    "#pass\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k that we find\n",
    "# when running cross-validation. After running cross-validation,\n",
    "# k_to_accuracies[k] should be a list of length num_folds giving the different\n",
    "# accuracy values that we found when using that value of k.\n",
    "k_to_accuracies = {}\n",
    "\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Perform k-fold cross validation to find the best value of k. For each        #\n",
    "# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n",
    "# where in each case you use all but one of the folds as training data and the #\n",
    "# last fold as a validation set. Store the accuracies for all fold and all     #\n",
    "# values of k in the k_to_accuracies dictionary.                               #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "for k in k_choices:\n",
    "    k_to_accuracies[k] = np.zeros(num_folds)\n",
    "for i in range(num_folds):\n",
    "    classifier = KNearestNeighbor()\n",
    "    X_val_train = np.vstack(X_train_folds[0:i] + X_train_folds[i+1:])\n",
    "    y_val_train = np.vstack(y_train_folds[0:i] + y_train_folds[i+1:])\n",
    "    y_val_train = y_val_train[:,0]\n",
    "    classifier.train(X_val_train, y_val_train)\n",
    "    for k_ in k_choices:\n",
    "        y_val_pred = classifier.predict(X_train_folds[i], k=k_)\n",
    "        num_correct = np.sum(y_val_pred == y_train_folds[i][:,0])\n",
    "        accuracy = float(num_correct) / len(y_val_pred)\n",
    "        k_to_accuracies[k_] = k_to_accuracies[k_] + [accuracy]\n",
    "\n",
    "#pass\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# Print out the computed accuracies\n",
    "for k in sorted(k_to_accuracies):\n",
    "    for accuracy in k_to_accuracies[k]:\n",
    "        print('k = %d, accuracy = %f' % (k, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the raw observations\n",
    "for k in k_choices:\n",
    "    accuracies = k_to_accuracies[k]\n",
    "    plt.scatter([k] * len(accuracies), accuracies)\n",
    "\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "id": "cross_validation"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 141 / 500 correct => accuracy: 0.282000\n"
     ]
    }
   ],
   "source": [
    "# Based on the cross-validation results above, choose the best value for k,   \n",
    "# retrain the classifier using all the training data, and test it on the test\n",
    "# data. You should be able to get above 28% accuracy on the test data.\n",
    "best_k = 10\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)\n",
    "y_test_pred = classifier.predict(X_test, k=best_k)\n",
    "\n",
    "# Compute and display the accuracy\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 3**\n",
    "\n",
    "Which of the following statements about $k$-Nearest Neighbor ($k$-NN) are true in a classification setting, and for all $k$? Select all that apply.\n",
    "1. The decision boundary of the k-NN classifier is linear.\n",
    "2. The training error of a 1-NN will always be lower than that of 5-NN.\n",
    "3. The test error of a 1-NN will always be lower than that of a 5-NN.\n",
    "4. The time needed to classify a test example with the k-NN classifier grows with the size of the training set.\n",
    "5. None of the above.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
